MACROSCOPIC TRAFFIC MODELS FOR VEHICLE-FOLLOWER AUTOMATED TRANSPORTATION SYSTEMS

The problem of distributing and routing vehicles in a large automated transportation network may be approached through the design of on-line control algorithms, particularly when the network contains many origin-destination pairs and alternate routes. To develop such algorithms, it is necessary to obtain models that accurately represent the dynamic behavior of vehicles on the guideway network. In this paper, models based on density, flow and average velocity variables are derived for the vehicle-follower longitudinal control scheme. Models suitable for use in analysis and simulation work are developed for links, merges, diverges, and stations. The proposed models are shown to compare favorably with simulation results that use explicit modeling of vehicle dynamic modeling of vehicle dynamic interaction. (A) (TRRL)

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/01912615
• Corporate Authors:

  Pergamon Press, Incorporated

  Headington Hill Hall
  Oxford OX30BW,    
• Authors:
  • Pue, A J
• Publication Date: 1982-4

Language

• English

Media Info

• Features: Figures; References;
• Pagination: p. 125-142
• Serial:
  • Transportation Research Part B: Methodological
  • Volume: 16B
  • Issue Number: 2
  • Publisher: Elsevier
  • ISSN: 0191-2615
  • Serial URL: http://www.sciencedirect.com/science/journal/01912615

Subject/Index Terms

• TRT Terms: Automated guideway transit; Automatic control; Automation; Design; Longitudinal control; Mathematical models; Network analysis (Planning); Networks; Simulation; Size; Traffic; Traffic flow
• Uncontrolled Terms: Macro; Transportation networks
• Subject Areas: Design; Operations and Traffic Management; Public Transportation; I71: Traffic Theory;

Filing Info

• Accession Number: 00361437
• Record Type: Publication
• Source Agency: Transport and Road Research Laboratory (TRRL)
• Files: ITRD, TRIS
• Created Date: Aug 30 1982 12:00AM